Which visualization libraries does this skill use?

The skill primarily utilizes Matplotlib, Seaborn, and Plotly for Python, as well as ggplot2 for R users.

Are the generated visualizations accessible?

Yes, the skill explicitly follows guidelines for accessible color palettes (like Viridis) and emphasizes clarity and direct labeling for all users.

Can this skill handle messy or uncleaned data?

Yes, the skill includes specific instructions for data preparation, including handling missing values and ensuring correct type conversion before plotting.

How does this differ from basic chart generation?

This skill focuses on 'Data Storytelling,' meaning it prioritizes narrative flow, accessibility, and design aesthetics over generic, default plotting outputs.

Data Storytelling Analyst

Name: Data Storytelling Analyst
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Data Science & ML

Translates complex datasets into actionable visual narratives and insights using professional-grade Python and R visualizations.

The Data Storytelling Analyst skill transforms Claude into a specialized information designer and data scientist capable of uncovering the narrative hidden within raw numbers. Instead of producing basic charts, this skill focuses on the full analytical lifecycle—from exploratory data analysis and data cleaning to the application of advanced design principles and narrative structures. It ensures that every visualization is not only technically accurate but also aesthetically polished, accessible, and structured to lead the audience from data-driven conflict to clear resolution.

Key Features

01Narrative structuring using the Context-Conflict-Resolution framework for data reporting.

02Expert exploratory data analysis to identify trends, outliers, and hidden patterns.

032 GitHub stars

04Professional visualization generation using Python (Matplotlib, Seaborn, Plotly) or R (ggplot2).

05Application of high-end design principles including color theory and whitespace optimization.

06Automated chart junk removal and direct annotation for maximum readability.

Use Cases

01Analyzing complex scientific or financial datasets to find and highlight critical trends.

02Transforming raw business metrics into executive-ready visual presentations.

03Creating accessible, publication-quality charts for technical documentation or blogs.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills data-storytelling-analyst

For use in Claude.ai and ChatGPT

Download Skill